AIMC Topic: Long Term Adverse Effects

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Machine Learning to Predict Stent Restenosis Based on Daily Demographic, Clinical, and Angiographic Characteristics.

The Canadian journal of cardiology Feb 7, 2020
BACKGROUND: Machine learning (ML) has arrived in medicine to deliver individually adapted medical care. This study sought to use ML to discriminate stent restenosis (SR) compared with existing predictive scores of SR. To develop an easily applicable ...
Humans Machine Learning Prognosis Female Risk Factors Male Middle Aged Risk Assessment Coronary Angiography Percutaneous Coronary Intervention Coronary Restenosis Coronary Artery Disease Spain Long Term Adverse Effects Drug-Eluting Stents Demography
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Proton pump inhibitors receiving and prognosis of patients after scheduled percutaneous coronary interventions.

Terapevticheskii arkhiv Sep 20, 2018
AIM: The urgency of the study is determined by the lack of data necessary in order to assess the safety of prolonged use of proton pump inhibitors (PPI) in patients with IHD combined with anti-aggregant therapy. The aim of the study was to study the ...
Humans Prospective Studies Prognosis Female Aged Male Middle Aged Registries Percutaneous Coronary Intervention Coronary Restenosis Acute Coronary Syndrome Drug Therapy, Combination Gastrointestinal Hemorrhage Russia Long Term Adverse Effects Myocardial Ischemia Platelet Aggregation Inhibitors Proton Pump Inhibitors Risk Adjustment
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